自动摘要
- Automatic Summary;autoabstract
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Web信息分类与自动摘要的研究
Research on Classification and Automatic Summarization of Web Information
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基于Web的新闻文本自动摘要研究
Research on automatic abstract of web news text
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Internet上文本的自动摘要技术
Automatic Text Summarization for Web Pages on Internet
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对Internet上文本的自动摘要作出了总结和展望。
Lastly , it draws a conclusion and prospect on the research of auto text summarization on Internet .
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基于本体的BLOG文档自动摘要关键技术研究与实现
Research and Implementation of Blog Document Automatic Summarization Based on Ontology
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在提取Web文档信息之后,基础教育资源搜索引擎需要对文档进行文本自动摘要。
After extracting the information of Web resources , the basic education resources search engine need to make automatic abstraction for each Web resources .
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随着Internet的快速发展,人们迫切需要信息压缩工具来对大量的信息进行提炼、浓缩,而自动摘要系统正是这样的工具。
With the development of Internet , People need information compression tools to epurate and condense information , such as the Automatic Summarization System .
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OA中文文献自动摘要系统
OA Automatic Abstracting System on Chinese Documents
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本课题针对传统摘要技术的不足,提出了一种基于主题划分的Web文档自动摘要方法。
In the view of the deficiency of traditional summary technology , this text has put forward a new summary technology of webpage document based on the topic segmentation in the unlimited field .
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基于主题模型LDA的多文档自动摘要
Automatic Multi-Document Summarization Based on Topic Model LDA
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研究与开发了OA中文自动摘要系统1.4版,概括地介绍了该系统的特点、技术关键及实现。
The OA 1.4 automatic abstraction system on Chinese documents is developed , and its technical characteristics , technical knowhow and technical realization are preseted .
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最后本文综合以上研究成果设计并实现了一个中文web网页自动摘要系统模型,并对实际的网页进行了测试。
The corpus base about web page is also analyzed . Finally , this paper synthesized the above research results and designed and realized a systematic model of automatic summarization of a Chinese web page , which has been tested by the real web page .
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一种基于演化算法进行句子抽取的多文档自动摘要系统SBGA
SBGA : A Multi-Document Summarizer Using Genetic Algorithm-Based Sentence Extraction
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它在机器翻译、自动摘要、问答系统、信息抽取等许多自然语言处理技术应用领域中发挥着重要作用,并已经成为MUC和ACE中的重要评测任务。
It is very important in Machine Translating , Automatic Summarization , Question Answer , Information Extraction and other natural language processing area , and it becomes an important evaluating task of MUC and ACE .
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我们设计了一种学习预测函数的方法,并在此之上构建了一个自动摘要系统RBSS。
We design an approach to learn the prediction function , and construct a high-quality summary searching system called RBSS .
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实验表明,该方法能够提高单词-文档谱聚类方法的聚类效果。(5)在LDA主题模型的基础上,提出了基于主题融合的多文档自动摘要算法Titled-LDA。
Experiments show that this method can improve the clustering results of spectral co-clustering documents and words . ( 5 ) Based on the LDA topic model , this paper proposed Titled-LDA algorithm for multi-document summarization by fusing topic model .
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SBGA系统将多文档自动摘要过程视为一个从源文档集中抽取句子的组合优化过程,并用演化算法来求得近似最优解。
The multi-document summarizer using genetic algorithm-based sentence extraction ( SBGA ) regards summarization process as an optimization problem where the optimal summary is chosen among a set of summaries formed by the conjunction of the original articles sentences .
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多知识源融合的自动摘要系统研究与实现
Research and design of summarization system based on multi-knowledge sources fusion
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基于依存内容单元的金字塔自动摘要评估
Pyramid Method for Automatic Summarization Evaluation Based on Dependent Content Units
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英文文献自动摘要系统的研制与开发
Research and Development of an Automatic Abstracting System for English Documents
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自动摘要是文本挖掘的一个传统研究领域。
Automatic summarization is a traditional research field of text mining .
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一种基于文本关系图的多文档自动摘要技术
Approach of Multi-document Summarization System Based on a Text Relationship Map
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最后对自动摘要系统的性能进行了讨论。
Finally the paper discussed the performance of automatic abstract system .
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基于有监督分类技术的文本自动摘要研究
The Research of Automatic Text Summarization Based on Supervised Classify Technology
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基于统计与语义分析的多文档自动摘要研究
Research on Automatic Multi-document Summarization Based on Statistics and Semantic Analysis
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论文提出了一种新的评价方法(F-new-measure),并应用于文本自动摘要中。
This paper introduces a new evaluation method for automatic text summarization .
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研究了适用于新闻内容的多文本自动摘要技术。
This paper studies automatic summarization of multiple news text .
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一种特定领域中文自动摘要系统
Understanding Based Chinese Automatic Abstracting System in Special Domain
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设计并实现了新闻文本自动摘要系统。
This paper also designs and implements the automatic news text summarization system .
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我们迫切需要更加有效的信息组织、总结和分析技术,而信息的自动摘要和自动查询则是其中的关键。
The key of the research is the automatic summarization and inquiry of information .